Alternatives to Apache JMeter logo

Alternatives to Apache JMeter

Testrail, BlazeMeter, Selenium, Postman, and Gatling are the most popular alternatives and competitors to Apache JMeter.
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What is Apache JMeter and what are its top alternatives?

Apache JMeter is a popular open-source tool designed for load testing and performance testing, used to analyze and measure the performance of web applications. Key features of Apache JMeter include the ability to test websites, web services, databases, and FTP servers, support for various protocols such as HTTP, FTP, JDBC, and LDAP, and the capability to generate dynamic and customizable test plans. However, Apache JMeter may have a steep learning curve for beginners, limited reporting capabilities, and may require significant resources for large-scale testing.

  1. Gatling: Gatling is a highly efficient open-source load testing tool built on Scala and Akka, offering a high-level DSL for performance testing. Key features include support for various protocols such as HTTP, websockets, and JMS, real-time reporting, and code reusability. Pros of Gatling compared to Apache JMeter include better performance for high-concurrency scenarios and a more developer-friendly approach, while cons may include a steeper learning curve for some users.

  2. K6: K6 is an open-source and developer-centric load testing tool that enables performance testing from the early stages of development. Key features of K6 include script flexibility with JavaScript, cloud-based test execution, support for running tests locally or on the cloud, and powerful CLI capabilities. Pros of K6 compared to Apache JMeter include ease of use, scalability for large loads, and better integration with modern CI/CD pipelines, while cons may include limited protocol support.

  3. Locust: Locust is an open-source load testing tool that allows users to write Python scripts to define user behavior, making it highly scalable and flexible. Key features of Locust include distributed load generation, support for scripting in Python, real-time monitoring, and an easy-to-use web interface. Pros of Locust compared to Apache JMeter include flexibility in defining user behavior, horizontal scalability for large loads, and an intuitive web interface, while cons may include limited protocol support and a need for Python programming skills.

  4. Artillery: Artillery is an open-source load testing tool designed for testing modern applications and services with a focus on simplicity and flexibility. Key features of Artillery include a declarative YAML DSL for test scenarios, real-time reporting, and support for testing websockets and HTTP/1.1/2.0. Pros of Artillery compared to Apache JMeter include ease of use, flexibility in defining test scenarios, and support for modern application architectures, while cons may include limited protocol support and a smaller user community.

  5. Blazemeter: BlazeMeter is a commercial load testing platform that offers scalability, reliability, and integration with various tools for performance testing. Key features of BlazeMeter include simple test script recording, integration with popular tools like Jenkins and JIRA, real-time reporting, and support for various protocols. Pros of BlazeMeter compared to Apache JMeter include scalability for large loads, cloud-based test execution, and integration with popular DevOps tools, while cons may include cost for enterprise features and limited customization options.

  6. LoadNinja: LoadNinja is a commercial load testing tool that offers scriptless scenario creation, comprehensive real-time reporting, and browser-based load testing. Key features of LoadNinja include support for a wide range of browsers, visual test script creation, and integration with various CI/CD tools. Pros of LoadNinja compared to Apache JMeter include ease of use with a scriptless approach, realistic load testing scenarios, and browser-based load generation, while cons may include cost for enterprise features and limited protocol support.

  7. NeoLoad: NeoLoad is a commercial load testing tool designed to test all digital applications, including web applications, mobile apps, and APIs. Key features of NeoLoad include a user-friendly interface, support for various technologies, integration with popular CI/CD tools, and real-time analytics. Pros of NeoLoad compared to Apache JMeter include ease of use with a user-friendly interface, advanced analytics capabilities, and broad technology support, while cons may include cost for enterprise features and the need for additional training.

  8. LoadRunner: LoadRunner is a commercial load testing tool designed for testing a wide range of applications and protocols, including web, mobile, and enterprise applications. Key features of LoadRunner include a comprehensive suite of testing tools, real-time analytics, support for a wide range of protocols, and integration with popular CI/CD tools. Pros of LoadRunner compared to Apache JMeter include broad protocol support, comprehensive testing capabilities, and integration with enterprise systems, while cons may include cost for enterprise features and a steeper learning curve for beginners.

  9. Tsung: Tsung is an open-source distributed load testing tool built on Erlang, designed for stress testing and performance testing of web services. Key features of Tsung include support for HTTP, WebSockets, embedded language extendibility, and event-driven architecture. Pros of Tsung compared to Apache JMeter include scalability for large loads, distributed testing capabilities, and support for modern web technologies, while cons may include a steeper learning curve for some users and limited protocol support.

  10. Taurus: Taurus is an open-source automation-friendly tool that wraps and enhances popular testing tools like JMeter, Gatling, and Selenium. Key features of Taurus include support for multiple testing frameworks, integration with CI/CD tools, real-time reporting, and flexibility in defining test scenarios. Pros of Taurus compared to Apache JMeter include ease of use with a simplified configuration format, support for various testing tools, and integration with DevOps pipelines, while cons may include limited customization options and a need for familiarity with underlying testing tools.

Top Alternatives to Apache JMeter

  • Testrail
    Testrail

    TestRail helps you manage and track your software testing efforts and organize your QA department. Its intuitive web-based user interface makes it easy to create test cases, manage test runs and coordinate your entire testing process. ...

  • BlazeMeter
    BlazeMeter

    Simulate any user scenario for webapps, websites, mobile apps or web services. 100% Apache JMeter compatible. Scalable from 1 to 1,000,000+ concurrent users.<br> ...

  • Selenium
    Selenium

    Selenium automates browsers. That's it! What you do with that power is entirely up to you. Primarily, it is for automating web applications for testing purposes, but is certainly not limited to just that. Boring web-based administration tasks can (and should!) also be automated as well. ...

  • Postman
    Postman

    It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide. ...

  • Gatling
    Gatling

    Gatling is a highly capable load testing tool. It is designed for ease of use, maintainability and high performance. Out of the box, Gatling comes with excellent support of the HTTP protocol that makes it a tool of choice for load testing any HTTP server. As the core engine is actually protocol agnostic, it is perfectly possible to implement support for other protocols. For example, Gatling currently also ships JMS support. ...

  • Locust
    Locust

    Locust is an easy-to-use, distributed, user load testing tool. Intended for load testing web sites (or other systems) and figuring out how many concurrent users a system can handle. ...

  • Stack Overflow
    Stack Overflow

    Stack Overflow is a question and answer site for professional and enthusiast programmers. It's built and run by you as part of the Stack Exchange network of Q&A sites. With your help, we're working together to build a library of detailed answers to every question about programming. ...

  • Google Maps
    Google Maps

    Create rich applications and stunning visualisations of your data, leveraging the comprehensiveness, accuracy, and usability of Google Maps and a modern web platform that scales as you grow. ...

Apache JMeter alternatives & related posts

Testrail logo

Testrail

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PROS OF TESTRAIL
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Shared insights
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TestrailTestrailmablmabl

Hello everyone!

Need your advice in my new company. I am new to this website as well. Any thoughts on what TCM we can use if we have mabl Automation to have not big total expenses? Or to change the automation framework and get TCM.

I used Testrail ($1-2k) as TCM but expenses are quite big in total with Mabl ($1k) . The product has lots of visual content such as diagrams, graphics, and tables where data displayed from 1 big table. Company is using Mabl for Automation. There are not so much Backend tests. Frontend is not covered and no started.

I am looking for TCM to start creating TCs for manual testing, then want to highlight tests for regression and automate them. Also team ready to automate Backend as well.

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Visual StudioVisual StudioTestrailTestrail

I have used Testrail for several years but my company is switching to Devops for everything (including QA/Testing). We are dropping TestRail because of the cost. TestRail is, overall, a better tool for QA. Devops is very tedious for test plan/suite/case creation. Actually executing a test is pretty good, But writing / creating the plans are pretty cumbersome. I have requested a few improvements through the Visual Studio community but I don't have high hopes. I just don't think enough QAs are using Devops. Is anybody else in this boat?

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BlazeMeter logo

BlazeMeter

69
158
13
The Load Testing Platform for Developers
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PROS OF BLAZEMETER
  • 10
    I can run load tests without needing JMeter scripts.
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CONS OF BLAZEMETER
  • 1
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How to optimize performance testing for services on AWS Cloud? Recently our organization application has been migrated to the cloud. And I'm wondering how to commence the performance testing. Currently, our team using Apache JMeter with BlazeMeter. However, they are facing some challenges while using them. So we are looking for new tools to overcome those challenges.

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Selenium logo

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When you think about test automation, it’s crucial to make it everyone’s responsibility (not just QA Engineers'). We started with Selenium and Java, but with our platform revolving around Ruby, Elixir and JavaScript, QA Engineers were left alone to automate tests. Cypress was the answer, as we could switch to JS and simply involve more people from day one. There's a downside too, as it meant testing on Chrome only, but that was "good enough" for us + if really needed we can always cover some specific cases in a different way.

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QA Manager - Engineering at HBC Digital · | 8 upvotes · 2.2M views

For our digital QA organization to support a complex hybrid monolith/microservice architecture, our team took on the lofty goal of building out a commonized UI test automation framework. One of the primary requisites included a technical minimalist threshold such that an engineer or analyst with fundamental knowledge of JavaScript could automate their tests with greater ease. Just to list a few: - Nightwatchjs - Selenium - Cucumber - GitHub - Go.CD - Docker - ExpressJS - React - PostgreSQL

With this structure, we're able to combine the automation efforts of each team member into a centralized repository while also providing new relevant metrics to business owners.

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Postman logo

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We just launched the Segment Config API (try it out for yourself here) — a set of public REST APIs that enable you to manage your Segment configuration. A public API is only as good as its #documentation. For the API reference doc we are using Postman.

Postman is an “API development environment”. You download the desktop app, and build API requests by URL and payload. Over time you can build up a set of requests and organize them into a “Postman Collection”. You can generalize a collection with “collection variables”. This allows you to parameterize things like username, password and workspace_name so a user can fill their own values in before making an API call. This makes it possible to use Postman for one-off API tasks instead of writing code.

Then you can add Markdown content to the entire collection, a folder of related methods, and/or every API method to explain how the APIs work. You can publish a collection and easily share it with a URL.

This turns Postman from a personal #API utility to full-blown public interactive API documentation. The result is a great looking web page with all the API calls, docs and sample requests and responses in one place. Check out the results here.

Postman’s powers don’t end here. You can automate Postman with “test scripts” and have it periodically run a collection scripts as “monitors”. We now have #QA around all the APIs in public docs to make sure they are always correct

Along the way we tried other techniques for documenting APIs like ReadMe.io or Swagger UI. These required a lot of effort to customize.

Writing and maintaining a Postman collection takes some work, but the resulting documentation site, interactivity and API testing tools are well worth it.

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Our whole Node.js backend stack consists of the following tools:

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Gatling logo

Gatling

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319
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Open-source load testing for DevOps and CI/CD
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PROS OF GATLING
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I am looking for a performance testing tool that I can use for testing the documents accessed by many users simultaneously. I also want to integrate Jenkins with the performance automation tool. I am not able to decide which shall I choose Gatling or Locust. But for me, Jenkins integration is important. I am looking for suggestions for this scenario.

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Vrashab Jian
Shared insights
on
Flood IOFlood IOLocustLocustGatlingGatling

I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

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Locust logo

Locust

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Define user behaviour with Python code, and swarm your system with millions of simultaneous users
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I am looking for a performance testing tool that I can use for testing the documents accessed by many users simultaneously. I also want to integrate Jenkins with the performance automation tool. I am not able to decide which shall I choose Gatling or Locust. But for me, Jenkins integration is important. I am looking for suggestions for this scenario.

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Shared insights
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Flood IOFlood IOLocustLocustGatlingGatling

I have to run a multi-user load test and have test scripts developed in Gatling and Locust.

I am planning to run the tests with Flood IO, as it allows us to create a custom grid. They support Gatling. Did anyone try Locust tests? I would prefer not to use multiple infra providers for running these tests!

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Stack Overflow logo

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Google Analytics is a great tool to analyze your traffic. To debug our software and ask questions, we love to use Postman and Stack Overflow. Google Drive helps our team to share documents. We're able to build our great products through the APIs by Google Maps, CloudFlare, Stripe, PayPal, Twilio, Let's Encrypt, and TensorFlow.

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